Pandas Profiling Report

Dataset statistics

Number of variables	44
Number of observations	94815
Missing cells	66107
Missing cells (%)	1.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	31.8 MiB
Average record size in memory	352.0 B

Variable types

Text	1
Categorical	26
Numeric	17

Alerts

`tipologia_imueble` has constant value ""	Constant
`operacion` has constant value ""	Constant
`ciudad` has constant value ""	Constant
`a_reformar` is highly overall correlated with `buen_estado`	High correlation
`ano_construccion` is highly overall correlated with `cat_ano_construccion` and 1 other fields	High correlation
`area_construida` is highly overall correlated with `n_banos` and 2 other fields	High correlation
`ascensor` is highly overall correlated with `precio`	High correlation
`buen_estado` is highly overall correlated with `a_reformar`	High correlation
`cat_ano_construccion` is highly overall correlated with `ano_construccion` and 1 other fields	High correlation
`cat_calidad` is highly overall correlated with `precio` and 1 other fields	High correlation
`cat_n_max_pisos` is highly overall correlated with `cat_n_vecinos`	High correlation
`cat_n_vecinos` is highly overall correlated with `cat_n_max_pisos`	High correlation
`distancia_castellana` is highly overall correlated with `distancia_puerta_sol` and 1 other fields	High correlation
`distancia_puerta_sol` is highly overall correlated with `ano_construccion` and 3 other fields	High correlation
`jardin` is highly overall correlated with `piscina`	High correlation
`n_banos` is highly overall correlated with `area_construida` and 2 other fields	High correlation
`n_habitaciones` is highly overall correlated with `area_construida` and 1 other fields	High correlation
`parking` is highly overall correlated with `parking_incluido_precio` and 1 other fields	High correlation
`parking_incluido_precio` is highly overall correlated with `parking` and 1 other fields	High correlation
`piscina` is highly overall correlated with `jardin` and 2 other fields	High correlation
`precio` is highly overall correlated with `area_construida` and 4 other fields	High correlation
`precio_unitario_km2` is highly overall correlated with `cat_calidad` and 3 other fields	High correlation
`amueblado` is highly imbalanced (75.5%)	Imbalance
`orientacion_n` is highly imbalanced (50.7%)	Imbalance
`duplex` is highly imbalanced (82.4%)	Imbalance
`estudio` is highly imbalanced (81.8%)	Imbalance
`arico` is highly imbalanced (84.1%)	Imbalance
`nueva_construccion` is highly imbalanced (80.4%)	Imbalance
`ano_construccion` has 55873 (58.9%) missing values	Missing
`n_piso` has 3846 (4.1%) missing values	Missing
`exterior_interior` has 6387 (6.7%) missing values	Missing
`precio_parking` is highly skewed (γ1 = 52.12686995)	Skewed
`ano_construccion` is highly skewed (γ1 = -22.48788092)	Skewed
`distancia_puerta_sol` is highly skewed (γ1 = 27.74516836)	Skewed
`distancia_metro` is highly skewed (γ1 = 227.8617291)	Skewed
`distancia_castellana` is highly skewed (γ1 = 43.08790605)	Skewed
`n_habitaciones` has 2745 (2.9%) zeros	Zeros
`n_piso` has 10112 (10.7%) zeros	Zeros

Reproduction

Analysis started	2024-02-10 17:04:19.692877
Analysis finished	2024-02-10 17:06:15.220751
Duration	1 minute and 55.53 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

id_anuncio
Text

Distinct	75804
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

Length

Max length	21
Median length	20
Mean length	20.394104
Min length	17

Characters and Unicode

Total characters	1933667
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61975 ?
Unique (%)	65.4%

Sample

1st row	A15019136831406238029
2nd row	A6677225905472065344
3rd row	A13341979748618524775
4th row	A4775182175615276542
5th row	A2492087730711701973

Value	Count	Frequency (%)
a5463639993615125363	11	< 0.1%
a14882068007191593522	9	< 0.1%
a2282202115281541721	9	< 0.1%
a1315840462730187222	8	< 0.1%
a6533487971225909396	7	< 0.1%
a9865685988976540204	7	< 0.1%
a17724009027760482208	7	< 0.1%
a6151307694369968367	7	< 0.1%
a14940791098683555615	7	< 0.1%
a15887017636239933239	7	< 0.1%
Other values (75794)	94736	99.9%

Most occurring characters

Value	Count	Frequency (%)
1	224648	11.6%
2	181752	9.4%
3	181563	9.4%
4	180886	9.4%
5	180745	9.3%
6	180516	9.3%
7	180378	9.3%
8	177716	9.2%
0	175751	9.1%
9	174897	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1838852	95.1%
Uppercase Letter	94815	4.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	224648	12.2%
2	181752	9.9%
3	181563	9.9%
4	180886	9.8%
5	180745	9.8%
6	180516	9.8%
7	180378	9.8%
8	177716	9.7%
0	175751	9.6%
9	174897	9.5%

Uppercase Letter

Value	Count	Frequency (%)
A	94815	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1838852	95.1%
Latin	94815	4.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	224648	12.2%
2	181752	9.9%
3	181563	9.9%
4	180886	9.8%
5	180745	9.8%
6	180516	9.8%
7	180378	9.8%
8	177716	9.7%
0	175751	9.6%
9	174897	9.5%

Latin

Value	Count	Frequency (%)
A	94815	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1933667	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	224648	11.6%
2	181752	9.4%
3	181563	9.4%
4	180886	9.4%
5	180745	9.3%
6	180516	9.3%
7	180378	9.3%
8	177716	9.2%
0	175751	9.1%
9	174897	9.0%

fecha
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

201812	44270
201803	21920
201809	15973
201806	12652

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	568890
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	201803
2nd row	201803
3rd row	201803
4th row	201803
5th row	201803

Common Values

Value	Count	Frequency (%)
201812	44270	46.7%
201803	21920	23.1%
201809	15973	16.8%
201806	12652	13.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
201812	44270	46.7%
201803	21920	23.1%
201809	15973	16.8%
201806	12652	13.3%

Most occurring characters

Value	Count	Frequency (%)
0	145360	25.6%
2	139085	24.4%
1	139085	24.4%
8	94815	16.7%
3	21920	3.9%
9	15973	2.8%
6	12652	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	568890	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	145360	25.6%
2	139085	24.4%
1	139085	24.4%
8	94815	16.7%
3	21920	3.9%
9	15973	2.8%
6	12652	2.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	568890	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	145360	25.6%
2	139085	24.4%
1	139085	24.4%
8	94815	16.7%
3	21920	3.9%
9	15973	2.8%
6	12652	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	568890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	145360	25.6%
2	139085	24.4%
1	139085	24.4%
8	94815	16.7%
3	21920	3.9%
9	15973	2.8%
6	12652	2.2%

precio
Real number (ℝ)

HIGH CORRELATION

Distinct	2761
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	396110.11

Minimum	21000
Maximum	8133000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	21000
5-th percentile	97000
Q1	160000
median	262000
Q3	467000
95-th percentile	1135000
Maximum	8133000
Range	8112000
Interquartile range (IQR)	307000

Descriptive statistics

Standard deviation	417074.41
Coefficient of variation (CV)	1.0529254
Kurtosis	28.98006
Mean	396110.11
Median Absolute Deviation (MAD)	124000
Skewness	4.0388853
Sum	3.755718 × 10¹⁰
Variance	1.7395106 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
137000	448	0.5%
127000	416	0.4%
128000	411	0.4%
132000	400	0.4%
130000	391	0.4%
158000	378	0.4%
138000	377	0.4%
147000	376	0.4%
162000	369	0.4%
157000	368	0.4%
Other values (2751)	90881	95.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21000	1	< 0.1%
24000	3	< 0.1%
25000	1	< 0.1%
26000	1	< 0.1%
28000	1	< 0.1%
29000	3	< 0.1%
30000	1	< 0.1%
32000	1	< 0.1%
33000	3	< 0.1%
34000	1	< 0.1%

Value	Count	Frequency (%)
8133000	1	< 0.1%
7138000	1	< 0.1%
7124000	1	< 0.1%
7044000	1	< 0.1%
7018000	1	< 0.1%
6996000	1	< 0.1%
6970000	1	< 0.1%
6848000	1	< 0.1%
6829000	1	< 0.1%
6729000	1	< 0.1%

precio_unitario_km2
Real number (ℝ)

HIGH CORRELATION

Distinct	31151
Distinct (%)	32.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3661.0515

Minimum	805.30973
Maximum	9997.561
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	805.30973
5-th percentile	1426.6667
Q1	2240
median	3480
Q3	4744.623
95-th percentile	6771.4286
Maximum	9997.561
Range	9192.2512
Interquartile range (IQR)	2504.623

Descriptive statistics

Standard deviation	1700.4994
Coefficient of variation (CV)	0.46448387
Kurtosis	0.23351824
Mean	3661.0515
Median Absolute Deviation (MAD)	1250.1587
Skewness	0.72169916
Sum	3.471226 × 10⁸
Variance	2891698.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	373	0.4%
3000	236	0.2%
5000	211	0.2%
4000	201	0.2%
2200	161	0.2%
1500	158	0.2%
1800	149	0.2%
3500	148	0.2%
2500	140	0.1%
2600	131	0.1%
Other values (31141)	92907	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
805.3097345	1	< 0.1%
805.5555556	2	< 0.1%
805.9701493	1	< 0.1%
806.4516129	1	< 0.1%
807.0175439	1	< 0.1%
808.2191781	1	< 0.1%
808.3333333	1	< 0.1%
808.8235294	1	< 0.1%
809.0909091	1	< 0.1%
810.5263158	1	< 0.1%

Value	Count	Frequency (%)
9997.560976	1	< 0.1%
9994.285714	1	< 0.1%
9993.377483	1	< 0.1%
9992.248062	1	< 0.1%
9991.150442	1	< 0.1%
9990.909091	1	< 0.1%
9984.924623	1	< 0.1%
9979.310345	1	< 0.1%
9975	2	< 0.1%
9973.913043	1	< 0.1%

tipologia_imueble
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

HOME	94815

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	379260
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HOME
2nd row	HOME
3rd row	HOME
4th row	HOME
5th row	HOME

Common Values

Value	Count	Frequency (%)
HOME	94815	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
home	94815	100.0%

Most occurring characters

Value	Count	Frequency (%)
H	94815	25.0%
O	94815	25.0%
M	94815	25.0%
E	94815	25.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	379260	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
H	94815	25.0%
O	94815	25.0%
M	94815	25.0%
E	94815	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	379260	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	94815	25.0%
O	94815	25.0%
M	94815	25.0%
E	94815	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	379260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	94815	25.0%
O	94815	25.0%
M	94815	25.0%
E	94815	25.0%

operacion
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

SALE	94815

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	379260
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SALE
2nd row	SALE
3rd row	SALE
4th row	SALE
5th row	SALE

Common Values

Value	Count	Frequency (%)
SALE	94815	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sale	94815	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	94815	25.0%
A	94815	25.0%
L	94815	25.0%
E	94815	25.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	379260	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	94815	25.0%
A	94815	25.0%
L	94815	25.0%
E	94815	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	379260	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	94815	25.0%
A	94815	25.0%
L	94815	25.0%
E	94815	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	379260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	94815	25.0%
A	94815	25.0%
L	94815	25.0%
E	94815	25.0%

area_construida
Real number (ℝ)

HIGH CORRELATION

Distinct	558
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.39716

Minimum	21
Maximum	985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	21
5-th percentile	40
Q1	62
median	83
Q3	117
95-th percentile	225
Maximum	985
Range	964
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	67.078259
Coefficient of variation (CV)	0.66153981
Kurtosis	17.634481
Mean	101.39716
Median Absolute Deviation (MAD)	25
Skewness	3.1778064
Sum	9613972
Variance	4499.4929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	3129	3.3%
70	2976	3.1%
80	2606	2.7%
65	2418	2.6%
75	2350	2.5%
90	2158	2.3%
50	1970	2.1%
100	1931	2.0%
55	1745	1.8%
110	1576	1.7%
Other values (548)	71956	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	58	0.1%
22	61	0.1%
23	54	0.1%
24	74	0.1%
25	235	0.2%
26	75	0.1%
27	127	0.1%
28	158	0.2%
29	75	0.1%
30	652	0.7%

Value	Count	Frequency (%)
985	1	< 0.1%
982	1	< 0.1%
951	1	< 0.1%
950	1	< 0.1%
941	2	< 0.1%
934	1	< 0.1%
928	1	< 0.1%
926	1	< 0.1%
922	1	< 0.1%
900	2	< 0.1%

n_habitaciones
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5808996

Minimum	0
Maximum	93
Zeros	2745
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	93
Range	93
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2448777
Coefficient of variation (CV)	0.48234256
Kurtosis	301.56797
Mean	2.5808996
Median Absolute Deviation (MAD)	1
Skewness	4.9738445
Sum	244708
Variance	1.5497206
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
3	33961	35.8%
2	28422	30.0%
1	13338	14.1%
4	11674	12.3%
5	3350	3.5%
0	2745	2.9%
6	789	0.8%
7	279	0.3%
8	142	0.1%
9	35	< 0.1%
Other values (11)	80	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2745	2.9%
1	13338	14.1%
2	28422	30.0%
3	33961	35.8%
4	11674	12.3%
5	3350	3.5%
6	789	0.8%
7	279	0.3%
8	142	0.1%
9	35	< 0.1%

Value	Count	Frequency (%)
93	1	< 0.1%
33	1	< 0.1%
20	2	< 0.1%
18	2	< 0.1%
16	2	< 0.1%
15	3	< 0.1%
14	5	< 0.1%
13	6	< 0.1%
12	18	< 0.1%
11	16	< 0.1%

n_banos
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5854559

Minimum	0
Maximum	20
Zeros	89
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	20
Range	20
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.84302421
Coefficient of variation (CV)	0.53172353
Kurtosis	14.881077
Mean	1.5854559
Median Absolute Deviation (MAD)	0
Skewness	2.4345135
Sum	150325
Variance	0.71068981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1	53583	56.5%
2	31352	33.1%
3	6673	7.0%
4	2132	2.2%
5	722	0.8%
6	159	0.2%
0	89	0.1%
7	39	< 0.1%
8	28	< 0.1%
11	15	< 0.1%
Other values (8)	23	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	89	0.1%
1	53583	56.5%
2	31352	33.1%
3	6673	7.0%
4	2132	2.2%
5	722	0.8%
6	159	0.2%
7	39	< 0.1%
8	28	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
18	1	< 0.1%
16	1	< 0.1%
14	2	< 0.1%
13	2	< 0.1%
12	2	< 0.1%
11	15	< 0.1%
10	7	< 0.1%
9	7	< 0.1%
8	28	< 0.1%

terraza
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	61131
1	33684

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

Most occurring characters

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	61131	64.5%
1	33684	35.5%

ascensor
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

1	65953
0	28862

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

Most occurring characters

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	65953	69.6%
0	28862	30.4%

aire_acondicionado
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	52281
1	42534

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

Most occurring characters

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	52281	55.1%
1	42534	44.9%

amueblado
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

3	88799
2	4699
1	1317

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

Most occurring characters

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	88799	93.7%
2	4699	5.0%
1	1317	1.4%

parking
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	73472
1	21343

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring characters

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

parking_incluido_precio
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	73472
1	21343

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring characters

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	73472	77.5%
1	21343	22.5%

precio_parking
Real number (ℝ)

SKEWED

Distinct	146
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	719.87267

Minimum	1
Maximum	925001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	925001
Range	925000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7513.8764
Coefficient of variation (CV)	10.437785
Kurtosis	5060.2622
Mean	719.87267
Median Absolute Deviation (MAD)	0
Skewness	52.12687
Sum	68254727
Variance	56458338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	92624	97.7%
20001	231	0.2%
30001	210	0.2%
25001	186	0.2%
15001	183	0.2%
40001	141	0.1%
50001	136	0.1%
45001	87	0.1%
35001	76	0.1%
60001	62	0.1%
Other values (136)	879	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	92624	97.7%
2	9	< 0.1%
6	2	< 0.1%
7	1	< 0.1%
11	2	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
26	3	< 0.1%
41	4	< 0.1%
51	5	< 0.1%

Value	Count	Frequency (%)
925001	1	< 0.1%
770001	1	< 0.1%
750001	1	< 0.1%
510001	1	< 0.1%
450001	1	< 0.1%
275001	1	< 0.1%
250001	1	< 0.1%
231001	2	< 0.1%
220001	1	< 0.1%
150001	3	< 0.1%

orientacion_n
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	84592
1	10223

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

Most occurring characters

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	84592	89.2%
1	10223	10.8%

orientacion_s
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	72427
1	22388

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

Most occurring characters

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72427	76.4%
1	22388	23.6%

orientacion_e
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	75602
1	19213

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

Most occurring characters

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	75602	79.7%
1	19213	20.3%

orientacion_o
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	80739
1	14076

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	80739	85.2%
1	14076	14.8%

trastero
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	70272
1	24543

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

Most occurring characters

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70272	74.1%
1	24543	25.9%

armarios
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

1	54235
0	40580

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

Most occurring characters

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	54235	57.2%
0	40580	42.8%

piscina
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	80767
1	14048

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	80767	85.2%
1	14048	14.8%

portero
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	71151
1	23664

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

Most occurring characters

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71151	75.0%
1	23664	25.0%

jardin
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	77319
1	17496

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

Most occurring characters

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77319	81.5%
1	17496	18.5%

duplex
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	92313
1	2502

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	92313	97.4%
1	2502	2.6%

estudio
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	92203
1	2612

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	92203	97.2%
1	2612	2.8%

arico
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	92619
1	2196

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	92619	97.7%
1	2196	2.3%

ano_construccion
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	191
Distinct (%)	0.5%
Missing	55873
Missing (%)	58.9%
Infinite	0
Infinite (%)	0.0%
Mean	1964.6935

Minimum	1
Maximum	2291
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1900
Q1	1955
median	1968
Q3	1987
95-th percentile	2008
Maximum	2291
Range	2290
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	55.891001
Coefficient of variation (CV)	0.028447695
Kurtosis	736.98528
Mean	1964.6935
Median Absolute Deviation (MAD)	16
Skewness	-22.487881
Sum	76509094
Variance	3123.8039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1960	2313	2.4%
1970	2095	2.2%
1965	1825	1.9%
1900	1643	1.7%
1950	862	0.9%
1930	822	0.9%
1966	784	0.8%
1940	782	0.8%
2006	742	0.8%
1975	741	0.8%
Other values (181)	26333	27.8%
(Missing)	55873	58.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
7	1	< 0.1%
10	2	< 0.1%
19	3	< 0.1%
48	1	< 0.1%
49	2	< 0.1%
50	2	< 0.1%
54	1	< 0.1%
160	1	< 0.1%
173	1	< 0.1%

Value	Count	Frequency (%)
2291	1	< 0.1%
2028	1	< 0.1%
2020	13	< 0.1%
2019	114	0.1%
2018	410	0.4%
2017	190	0.2%
2016	52	0.1%
2015	69	0.1%
2014	54	0.1%
2013	65	0.1%

n_piso
Real number (ℝ)

MISSING ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	3846
Missing (%)	4.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.7479031

Minimum	-1
Maximum	11
Zeros	10112
Zeros (%)	10.7%
Negative	936
Negative (%)	1.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	7
Maximum	11
Range	12
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.2575362
Coefficient of variation (CV)	0.82154869
Kurtosis	1.5967542
Mean	2.7479031
Median Absolute Deviation (MAD)	1
Skewness	1.1589046
Sum	249974
Variance	5.0964698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	20336	21.4%
2	17044	18.0%
3	14754	15.6%
4	11635	12.3%
0	10112	10.7%
5	6162	6.5%
6	3733	3.9%
7	2447	2.6%
8	1495	1.6%
11	1051	1.1%
Other values (3)	2200	2.3%
(Missing)	3846	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	936	1.0%
0	10112	10.7%
1	20336	21.4%
2	17044	18.0%
3	14754	15.6%
4	11635	12.3%
5	6162	6.5%
6	3733	3.9%
7	2447	2.6%
8	1495	1.6%

Value	Count	Frequency (%)
11	1051	1.1%
10	450	0.5%
9	814	0.9%
8	1495	1.6%
7	2447	2.6%
6	3733	3.9%
5	6162	6.5%
4	11635	12.3%
3	14754	15.6%
2	17044	18.0%

exterior_interior
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	6387
Missing (%)	6.7%
Memory size	740.9 KiB

1.0	76324
2.0	12104

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	265284
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	76324	80.5%
2.0	12104	12.8%
(Missing)	6387	6.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	76324	86.3%
2.0	12104	13.7%

Most occurring characters

Value	Count	Frequency (%)
.	88428	33.3%
0	88428	33.3%
1	76324	28.8%
2	12104	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	176856	66.7%
Other Punctuation	88428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	88428	50.0%
1	76324	43.2%
2	12104	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	88428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	265284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	88428	33.3%
0	88428	33.3%
1	76324	28.8%
2	12104	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	265284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	88428	33.3%
0	88428	33.3%
1	76324	28.8%
2	12104	4.6%

cat_ano_construccion
Real number (ℝ)

HIGH CORRELATION

Distinct	168
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1965.7037

Minimum	1623
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	1623
5-th percentile	1900
Q1	1955
median	1967
Q3	1984
95-th percentile	2008
Maximum	2018
Range	395
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	29.113566
Coefficient of variation (CV)	0.01481076
Kurtosis	2.0891814
Mean	1965.7037
Median Absolute Deviation (MAD)	14
Skewness	-0.82024174
Sum	1.863782 × 10⁸
Variance	847.59974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1960	6028	6.4%
1965	4929	5.2%
1970	4687	4.9%
1900	3443	3.6%
1950	2139	2.3%
1940	2037	2.1%
1969	1978	2.1%
1968	1890	2.0%
1930	1845	1.9%
1966	1818	1.9%
Other values (158)	64021	67.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1623	2	< 0.1%
1627	3	< 0.1%
1655	1	< 0.1%
1692	1	< 0.1%
1696	1	< 0.1%
1700	1	< 0.1%
1723	1	< 0.1%
1730	2	< 0.1%
1780	1	< 0.1%
1800	8	< 0.1%

Value	Count	Frequency (%)
2018	963	1.0%
2017	432	0.5%
2016	146	0.2%
2015	181	0.2%
2014	383	0.4%
2013	171	0.2%
2012	189	0.2%
2011	182	0.2%
2010	427	0.5%
2009	592	0.6%

cat_n_max_pisos
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.37647

Minimum	0
Maximum	26
Zeros	101
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	5
median	6
Q3	8
95-th percentile	12
Maximum	26
Range	26
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8454968
Coefficient of variation (CV)	0.44624953
Kurtosis	5.8429441
Mean	6.37647
Median Absolute Deviation (MAD)	1
Skewness	1.7681567
Sum	604585
Variance	8.0968518
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
5	21398	22.6%
4	13995	14.8%
7	13665	14.4%
6	13557	14.3%
8	9390	9.9%
3	5447	5.7%
9	5160	5.4%
10	2850	3.0%
2	1778	1.9%
11	1661	1.8%
Other values (16)	5914	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	101	0.1%
1	588	0.6%
2	1778	1.9%
3	5447	5.7%
4	13995	14.8%
5	21398	22.6%
6	13557	14.3%
7	13665	14.4%
8	9390	9.9%
9	5160	5.4%

Value	Count	Frequency (%)
26	46	< 0.1%
25	31	< 0.1%
23	88	0.1%
22	72	0.1%
21	182	0.2%
20	87	0.1%
19	20	< 0.1%
18	83	0.1%
17	287	0.3%
16	248	0.3%

cat_n_vecinos
Real number (ℝ)

HIGH CORRELATION

Distinct	329
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.187164

Minimum	1
Maximum	1499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	12
median	21
Q3	40
95-th percentile	141
Maximum	1499
Range	1498
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	54.254387
Coefficient of variation (CV)	1.3844938
Kurtosis	35.256411
Mean	39.187164
Median Absolute Deviation (MAD)	11
Skewness	4.383168
Sum	3715531
Variance	2943.5385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	4863	5.1%
21	4096	4.3%
9	3965	4.2%
13	3334	3.5%
17	2875	3.0%
16	2746	2.9%
7	2523	2.7%
15	2464	2.6%
10	2421	2.6%
14	2392	2.5%
Other values (319)	63136	66.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	691	0.7%
2	1087	1.1%
3	1126	1.2%
4	1402	1.5%
5	1477	1.6%
6	1107	1.2%
7	2523	2.7%
8	1577	1.7%
9	3965	4.2%
10	2421	2.6%

Value	Count	Frequency (%)
1499	2	< 0.1%
724	23	< 0.1%
701	1	< 0.1%
638	4	< 0.1%
574	55	0.1%
518	2	< 0.1%
512	1	< 0.1%
503	12	< 0.1%
501	10	< 0.1%
478	22	< 0.1%

cat_calidad
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.8521843

Minimum	0
Maximum	9
Zeros	377
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	6
95-th percentile	7
Maximum	9
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4629876
Coefficient of variation (CV)	0.30151113
Kurtosis	-0.050457092
Mean	4.8521843
Median Absolute Deviation (MAD)	1
Skewness	-0.0355007
Sum	460055
Variance	2.1403327
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	24673	26.0%
5	20725	21.9%
6	20491	21.6%
3	12634	13.3%
7	10428	11.0%
2	2703	2.9%
8	1527	1.6%
1	629	0.7%
9	627	0.7%
0	377	0.4%
(Missing)	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	377	0.4%
1	629	0.7%
2	2703	2.9%
3	12634	13.3%
4	24673	26.0%
5	20725	21.9%
6	20491	21.6%
7	10428	11.0%
8	1527	1.6%
9	627	0.7%

Value	Count	Frequency (%)
9	627	0.7%
8	1527	1.6%
7	10428	11.0%
6	20491	21.6%
5	20725	21.9%
4	24673	26.0%
3	12634	13.3%
2	2703	2.9%
1	629	0.7%
0	377	0.4%

nueva_construccion
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	91933
1	2882

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	91933	97.0%
1	2882	3.0%

a_reformar
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

0	77126
1	17689

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

Most occurring characters

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77126	81.3%
1	17689	18.7%

buen_estado
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

1	74244
0	20571

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	94815
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

Most occurring characters

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94815	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	94815	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	74244	78.3%
0	20571	21.7%

distancia_puerta_sol
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	94713
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4862695

Minimum	0.0076465716
Maximum	415.75258
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0.0076465716
5-th percentile	0.75998548
Q1	2.407711
median	4.1235046
Q3	6.2134633
95-th percentile	9.1800493
Maximum	415.75258
Range	415.74494
Interquartile range (IQR)	3.8057523

Descriptive statistics

Standard deviation	2.994906
Coefficient of variation (CV)	0.66757159
Kurtosis	3749.5623
Mean	4.4862695
Median Absolute Deviation (MAD)	1.8399367
Skewness	27.745168
Sum	425365.64
Variance	8.9694621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.14748725	2	< 0.1%
1.345886475	2	< 0.1%
0.7085602404	2	< 0.1%
2.24216869	2	< 0.1%
1.303940559	2	< 0.1%
4.211880961	2	< 0.1%
4.664080904	2	< 0.1%
8.678312755	2	< 0.1%
0.643174778	2	< 0.1%
2.604312336	2	< 0.1%
Other values (94703)	94795	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.007646571605	1	< 0.1%
0.01537414325	1	< 0.1%
0.01703500572	1	< 0.1%
0.01994969235	1	< 0.1%
0.02541720017	1	< 0.1%
0.02546122988	1	< 0.1%
0.02558615768	1	< 0.1%
0.02854700518	1	< 0.1%
0.02911750986	1	< 0.1%
0.03200618324	1	< 0.1%

Value	Count	Frequency (%)
415.7525844	1	< 0.1%
14.15881423	1	< 0.1%
14.15799678	1	< 0.1%
14.15776049	1	< 0.1%
14.1499303	1	< 0.1%
14.1436442	1	< 0.1%
14.13952592	1	< 0.1%
14.13862493	1	< 0.1%
14.13033589	1	< 0.1%
14.12645899	1	< 0.1%

distancia_metro
Real number (ℝ)

SKEWED

Distinct	94445
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.48091602

Minimum	0.0014160887
Maximum	399.47737
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0.0014160887
5-th percentile	0.09605202
Q1	0.21345803
median	0.33188241
Q3	0.52302509
95-th percentile	1.2179369
Maximum	399.47737
Range	399.47595
Interquartile range (IQR)	0.30956706

Descriptive statistics

Standard deviation	1.4335841
Coefficient of variation (CV)	2.9809448
Kurtosis	63289.197
Mean	0.48091602
Median Absolute Deviation (MAD)	0.14007542
Skewness	227.86173
Sum	45598.052
Variance	2.0551634
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.07262400891	3	< 0.1%
0.01007800048	3	< 0.1%
0.1351915238	3	< 0.1%
0.03547740611	3	< 0.1%
0.1322873217	2	< 0.1%
0.1530355285	2	< 0.1%
0.1938655324	2	< 0.1%
0.1763085068	2	< 0.1%
0.08111758685	2	< 0.1%
0.2642901621	2	< 0.1%
Other values (94435)	94791	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001416088655	2	< 0.1%
0.002588903776	1	< 0.1%
0.003159330755	1	< 0.1%
0.004017688228	1	< 0.1%
0.004132945902	1	< 0.1%
0.004134038551	1	< 0.1%
0.004135130912	1	< 0.1%
0.004376046082	1	< 0.1%
0.004477056832	1	< 0.1%
0.004687972017	1	< 0.1%

Value	Count	Frequency (%)
399.4773665	1	< 0.1%
9.42521385	1	< 0.1%
9.374053603	1	< 0.1%
9.355168276	1	< 0.1%
9.344541354	1	< 0.1%
9.341095837	1	< 0.1%
9.334654359	1	< 0.1%
9.329856913	1	< 0.1%
9.329834263	1	< 0.1%
8.98225003	1	< 0.1%

distancia_castellana
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	94707
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6792269

Minimum	0.0014350974
Maximum	412.80369
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	0.0014350974
5-th percentile	0.27503173
Q1	1.0351427
median	1.9569777
Q3	3.8406409
95-th percentile	7.1674747
Maximum	412.80369
Range	412.80225
Interquartile range (IQR)	2.8054982

Descriptive statistics

Standard deviation	2.581346
Coefficient of variation (CV)	0.96346672
Kurtosis	6720.2972
Mean	2.6792269
Median Absolute Deviation (MAD)	1.1877106
Skewness	43.087906
Sum	254030.9
Variance	6.6633471
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.034770529	2	< 0.1%
4.097475928	2	< 0.1%
5.539406549	2	< 0.1%
7.647690273	2	< 0.1%
0.03652147671	2	< 0.1%
0.781938254	2	< 0.1%
0.2266413713	2	< 0.1%
2.872269636	2	< 0.1%
2.328915683	2	< 0.1%
4.344945436	2	< 0.1%
Other values (94697)	94795	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001435097407	1	< 0.1%
0.004269475612	1	< 0.1%
0.004322044394	1	< 0.1%
0.004934849361	1	< 0.1%
0.006173318995	1	< 0.1%
0.006305782332	1	< 0.1%
0.007929002888	1	< 0.1%
0.008344202002	1	< 0.1%
0.008422856558	1	< 0.1%
0.008501845916	1	< 0.1%

Value	Count	Frequency (%)
412.8036884	1	< 0.1%
12.57782208	1	< 0.1%
12.57656576	1	< 0.1%
12.57358266	1	< 0.1%
12.5640167	1	< 0.1%
12.55972806	1	< 0.1%
12.55785999	1	< 0.1%
12.5537872	1	< 0.1%
12.55331639	1	< 0.1%
12.5372153	1	< 0.1%

longitud
Real number (ℝ)

Distinct	94713
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-3.6864076

Minimum	-3.8336106
Maximum	-2.7533027
Zeros	0
Zeros (%)	0.0%
Negative	94815
Negative (%)	100.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	-3.8336106
5-th percentile	-3.7475306
Q1	-3.7084745
median	-3.6941041
Q3	-3.6662268
95-th percentile	-3.6120087
Maximum	-2.7533027
Range	1.0803079
Interquartile range (IQR)	0.042247671

Descriptive statistics

Standard deviation	0.039239495
Coefficient of variation (CV)	-0.010644372
Kurtosis	4.0039309
Mean	-3.6864076
Median Absolute Deviation (MAD)	0.020845078
Skewness	0.54334525
Sum	-349526.74
Variance	0.001539738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-3.668397562	2	< 0.1%
-3.707368374	2	< 0.1%
-3.704031569	2	< 0.1%
-3.677467904	2	< 0.1%
-3.702816896	2	< 0.1%
-3.662555834	2	< 0.1%
-3.708484583	2	< 0.1%
-3.779258617	2	< 0.1%
-3.697557458	2	< 0.1%
-3.677426773	2	< 0.1%
Other values (94703)	94795	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.833610625	1	< 0.1%
-3.833107748	1	< 0.1%
-3.832932814	1	< 0.1%
-3.832706688	1	< 0.1%
-3.832533869	1	< 0.1%
-3.832513838	1	< 0.1%
-3.832442618	1	< 0.1%
-3.832430377	1	< 0.1%
-3.827888505	1	< 0.1%
-3.827372412	1	< 0.1%

Value	Count	Frequency (%)
-2.75330272	1	< 0.1%
-3.540813685	1	< 0.1%
-3.540837846	1	< 0.1%
-3.540910906	1	< 0.1%
-3.541013201	1	< 0.1%
-3.54102911	1	< 0.1%
-3.541071002	1	< 0.1%
-3.541099714	1	< 0.1%
-3.541146808	1	< 0.1%
-3.541271311	1	< 0.1%

latitud
Real number (ℝ)

Distinct	94713
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.421083

Minimum	36.756391
Maximum	40.520637
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	740.9 KiB

Quantile statistics

Minimum	36.756391
5-th percentile	40.367328
Q1	40.396868
median	40.423295
Q3	40.441998
95-th percentile	40.476588
Maximum	40.520637
Range	3.7642454
Interquartile range (IQR)	0.045130389

Descriptive statistics

Standard deviation	0.035495222
Coefficient of variation (CV)	0.00087813633
Kurtosis	1197.6169
Mean	40.421083
Median Absolute Deviation (MAD)	0.022747958
Skewness	-11.57701
Sum	3832525
Variance	0.0012599108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.42515983	2	< 0.1%
40.42836941	2	< 0.1%
40.41022755	2	< 0.1%
40.41861152	2	< 0.1%
40.42828005	2	< 0.1%
40.43771601	2	< 0.1%
40.45833551	2	< 0.1%
40.46930339	2	< 0.1%
40.41329384	2	< 0.1%
40.42861179	2	< 0.1%
Other values (94703)	94795	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
36.7563914	1	< 0.1%
40.32868222	1	< 0.1%
40.32870614	1	< 0.1%
40.33165199	1	< 0.1%
40.33169949	1	< 0.1%
40.33212122	1	< 0.1%
40.33212891	1	< 0.1%
40.33214619	1	< 0.1%
40.33222099	1	< 0.1%
40.33231457	1	< 0.1%

Value	Count	Frequency (%)
40.52063684	1	< 0.1%
40.52034852	1	< 0.1%
40.5202431	1	< 0.1%
40.52006389	1	< 0.1%
40.51987313	1	< 0.1%
40.51986685	1	< 0.1%
40.51983257	1	< 0.1%
40.51975356	1	< 0.1%
40.51959642	1	< 0.1%
40.51946819	1	< 0.1%

ciudad
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	740.9 KiB

Madrid	94815

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	568890
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Madrid
2nd row	Madrid
3rd row	Madrid
4th row	Madrid
5th row	Madrid

Common Values

Value	Count	Frequency (%)
Madrid	94815	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
madrid	94815	100.0%

Most occurring characters

Value	Count	Frequency (%)
d	189630	33.3%
M	94815	16.7%
a	94815	16.7%
r	94815	16.7%
i	94815	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	474075	83.3%
Uppercase Letter	94815	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	189630	40.0%
a	94815	20.0%
r	94815	20.0%
i	94815	20.0%

Uppercase Letter

Value	Count	Frequency (%)
M	94815	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	568890	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	189630	33.3%
M	94815	16.7%
a	94815	16.7%
r	94815	16.7%
i	94815	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	568890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	189630	33.3%
M	94815	16.7%
a	94815	16.7%
r	94815	16.7%
i	94815	16.7%

Auto

Heatmap
Table

	a_reformar	aire_acondicionado	amueblado	ano_construccion	area_construida	arico	armarios	ascensor	buen_estado	cat_ano_construccion	cat_calidad	cat_n_max_pisos	cat_n_vecinos	distancia_castellana	distancia_metro	distancia_puerta_sol	duplex	estudio	exterior_interior	fecha	jardin	latitud	longitud	n_banos	n_habitaciones	n_piso	nueva_construccion	orientacion_e	orientacion_n	orientacion_o	orientacion_s	parking	parking_incluido_precio	piscina	portero	precio	precio_parking	precio_unitario_km2	terraza	trastero
a_reformar	1.000	0.231	0.061	-0.223	0.068	0.003	0.152	0.019	0.910	-0.164	0.004	0.052	-0.023	-0.111	-0.083	-0.105	0.050	0.040	0.030	0.002	0.113	0.050	-0.034	-0.008	0.180	0.023	0.085	0.026	0.029	0.041	0.007	0.115	0.115	0.147	0.050	0.020	-0.008	-0.034	0.036	0.077
aire_acondicionado	0.231	1.000	0.043	0.196	0.124	0.060	0.349	0.156	0.276	0.123	-0.150	0.055	0.077	-0.042	0.013	0.003	0.074	0.024	0.055	0.034	0.148	0.072	0.037	0.152	-0.038	0.125	0.138	0.096	0.056	0.089	0.108	0.175	0.175	0.144	0.171	0.215	0.056	0.191	0.057	0.139
amueblado	0.061	0.043	1.000	-0.024	-0.021	0.006	0.048	0.012	0.064	-0.026	0.002	0.006	-0.005	-0.027	-0.022	-0.032	0.006	0.009	0.029	0.031	0.027	0.003	-0.017	-0.016	-0.007	-0.002	0.046	0.020	0.008	0.007	0.024	0.028	0.028	0.022	0.035	-0.008	0.026	0.008	0.021	0.033
ano_construccion	-0.223	0.196	-0.024	1.000	0.157	0.000	0.008	0.000	0.012	0.992	-0.065	0.043	0.206	0.411	0.375	0.548	0.000	0.000	0.000	0.008	0.018	0.030	0.173	0.168	-0.027	0.074	0.000	0.010	0.004	0.000	0.000	0.016	0.016	0.014	0.000	-0.011	0.087	-0.205	0.010	0.008
area_construida	0.068	0.124	-0.021	0.157	1.000	0.026	0.148	0.282	0.096	0.159	-0.365	0.274	0.150	-0.066	0.055	0.031	0.104	0.077	0.167	0.030	0.162	0.176	0.051	0.775	0.718	0.209	0.053	0.060	0.047	0.095	0.092	0.271	0.271	0.175	0.326	0.725	0.062	0.129	0.132	0.272
arico	0.003	0.060	0.006	0.000	0.026	1.000	0.032	0.000	0.007	0.015	-0.013	-0.028	-0.025	-0.011	0.000	-0.009	0.089	0.000	0.019	0.016	0.010	0.009	-0.007	0.008	-0.009	0.144	0.027	0.034	0.030	0.042	0.044	0.019	0.019	0.008	0.030	0.030	0.008	0.025	0.090	0.025
armarios	0.152	0.349	0.048	0.008	0.148	0.032	1.000	0.258	0.221	0.146	-0.190	0.145	0.143	-0.046	0.014	0.005	0.044	0.031	0.056	0.011	0.191	0.110	0.022	0.221	0.052	0.102	0.186	0.133	0.094	0.116	0.161	0.189	0.189	0.135	0.240	0.268	0.079	0.183	0.128	0.159
ascensor	0.019	0.156	0.012	0.000	0.282	0.000	0.258	1.000	0.030	0.208	-0.388	0.444	0.385	-0.116	0.004	-0.014	0.021	0.021	0.053	0.024	0.244	0.217	0.082	0.389	0.158	0.218	0.115	0.063	0.053	0.070	0.057	0.295	0.295	0.259	0.350	0.527	0.074	0.373	0.074	0.240
buen_estado	0.910	0.276	0.064	0.012	0.096	0.007	0.221	0.030	1.000	0.096	0.019	-0.056	0.011	0.060	0.033	0.047	0.043	0.045	0.000	0.011	0.040	-0.038	0.010	-0.043	-0.169	-0.019	0.336	0.012	0.002	0.009	0.032	0.034	0.034	0.020	0.003	-0.042	0.011	0.033	0.058	0.003
cat_ano_construccion	-0.164	0.123	-0.026	0.992	0.159	0.015	0.146	0.208	0.096	1.000	-0.121	0.065	0.240	0.396	0.371	0.521	0.101	0.065	0.258	0.015	0.377	0.006	0.168	0.165	0.026	0.071	0.134	0.014	0.017	0.005	0.023	0.425	0.425	0.444	0.101	-0.021	0.041	-0.211	0.203	0.291
cat_calidad	0.004	-0.150	0.002	-0.065	-0.365	-0.013	-0.190	-0.388	0.019	-0.121	1.000	-0.312	-0.361	0.305	0.085	0.240	0.044	0.043	0.110	0.025	0.223	-0.212	-0.010	-0.403	-0.097	-0.139	0.116	0.044	0.033	0.067	0.050	0.296	0.296	0.311	0.328	-0.593	-0.037	-0.531	0.075	0.254
cat_n_max_pisos	0.052	0.055	0.006	0.043	0.274	-0.028	0.145	0.444	-0.056	0.065	-0.312	1.000	0.627	-0.156	-0.028	-0.044	0.051	0.044	0.135	0.010	0.189	0.128	0.088	0.270	0.173	0.302	0.101	0.041	0.038	0.055	0.037	0.167	0.167	0.179	0.320	0.362	0.031	0.260	0.126	0.125
cat_n_vecinos	-0.023	0.077	-0.005	0.206	0.150	-0.025	0.143	0.385	0.011	0.240	-0.361	0.627	1.000	0.032	0.072	0.131	0.004	0.011	0.061	0.006	0.268	0.086	0.143	0.185	0.063	0.204	0.069	0.003	0.010	0.011	0.002	0.228	0.228	0.328	0.099	0.221	0.020	0.157	0.016	0.171
distancia_castellana	-0.111	-0.042	-0.027	0.411	-0.066	-0.011	-0.046	-0.116	0.060	0.396	0.305	-0.156	0.032	1.000	0.367	0.714	0.000	0.000	0.000	0.006	0.000	-0.253	0.176	-0.104	0.050	-0.041	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.435	-0.040	-0.605	0.000	0.000
distancia_metro	-0.083	0.013	-0.022	0.375	0.055	0.000	0.014	0.004	0.033	0.371	0.085	-0.028	0.072	0.367	1.000	0.439	0.000	0.000	0.000	0.006	0.000	-0.085	0.056	0.044	0.065	-0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.173	-0.016	-0.323	0.000	0.000
distancia_puerta_sol	-0.105	0.003	-0.032	0.548	0.031	-0.009	0.005	-0.014	0.047	0.521	0.240	-0.044	0.131	0.714	0.439	1.000	0.000	0.000	0.000	0.006	0.000	0.112	0.373	0.004	0.099	0.019	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.312	-0.032	-0.526	0.000	0.000
duplex	0.050	0.074	0.006	0.000	0.104	0.089	0.044	0.021	0.043	0.101	0.044	0.051	0.004	0.000	0.000	0.000	1.000	0.030	0.015	0.003	0.047	0.041	-0.001	0.106	-0.002	-0.012	0.010	0.012	0.003	0.016	0.025	0.064	0.064	0.055	0.013	0.066	0.018	0.010	0.053	0.051
estudio	0.040	0.024	0.009	0.000	0.077	0.000	0.031	0.021	0.045	0.065	0.043	0.044	0.011	0.000	0.000	0.000	0.030	1.000	0.085	0.009	0.024	0.026	-0.020	-0.118	-0.294	-0.080	0.016	0.012	0.000	0.010	0.000	0.035	0.035	0.020	0.014	-0.096	0.012	0.076	0.073	0.046
exterior_interior	0.030	0.055	0.029	0.000	0.167	0.019	0.056	0.053	0.000	0.258	0.110	0.135	0.061	0.000	0.000	0.000	0.015	0.085	1.000	0.027	0.158	0.014	-0.067	-0.197	-0.258	-0.123	0.066	0.035	0.036	0.040	0.056	0.167	0.167	0.140	0.034	-0.075	-0.020	0.213	0.188	0.162
fecha	0.002	0.034	0.031	0.008	0.030	0.016	0.011	0.024	0.011	0.015	0.025	0.010	0.006	0.006	0.006	0.006	0.003	0.009	0.027	1.000	0.026	0.022	0.008	0.001	-0.016	0.002	0.018	0.022	0.016	0.032	0.017	0.032	0.032	0.024	0.013	0.042	0.014	0.064	0.016	0.033
jardin	0.113	0.148	0.027	0.018	0.162	0.010	0.191	0.244	0.040	0.377	0.223	0.189	0.268	0.000	0.000	0.000	0.047	0.024	0.158	0.026	1.000	0.105	0.131	0.257	0.099	0.077	0.160	0.059	0.062	0.056	0.071	0.481	0.481	0.670	0.236	0.183	0.031	0.007	0.142	0.361
latitud	0.050	0.072	0.003	0.030	0.176	0.009	0.110	0.217	-0.038	0.006	-0.212	0.128	0.086	-0.253	-0.085	0.112	0.041	0.026	0.014	0.022	0.105	1.000	0.169	0.196	0.045	0.038	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.457	0.028	0.450	0.000	0.000
longitud	-0.034	0.037	-0.017	0.173	0.051	-0.007	0.022	0.082	0.010	0.168	-0.010	0.088	0.143	0.176	0.056	0.373	-0.001	-0.020	-0.067	0.008	0.131	0.169	1.000	0.067	0.022	0.039	0.161	0.000	0.008	0.018	0.014	0.188	0.188	0.249	0.102	0.016	-0.007	-0.038	0.109	0.144
n_banos	-0.008	0.152	-0.016	0.168	0.775	0.008	0.221	0.389	-0.043	0.165	-0.403	0.270	0.185	-0.104	0.044	0.004	0.106	-0.118	-0.197	0.001	0.257	0.196	0.067	1.000	0.563	0.152	0.000	0.047	0.044	0.068	0.069	0.207	0.207	0.117	0.261	0.671	0.058	0.268	0.108	0.205
n_habitaciones	0.180	-0.038	-0.007	-0.027	0.718	-0.009	0.052	0.158	-0.169	0.026	-0.097	0.173	0.063	0.050	0.065	0.099	-0.002	-0.294	-0.258	-0.016	0.099	0.045	0.022	0.563	1.000	0.177	0.000	0.000	0.000	0.010	0.000	0.006	0.006	0.012	0.008	0.395	0.013	-0.091	0.004	0.005
n_piso	0.023	0.125	-0.002	0.074	0.209	0.144	0.102	0.218	-0.019	0.071	-0.139	0.302	0.204	-0.041	-0.002	0.019	-0.012	-0.080	-0.123	0.002	0.077	0.038	0.039	0.152	0.177	1.000	0.028	0.047	0.056	0.067	0.056	0.133	0.133	0.115	0.195	0.228	0.022	0.140	0.193	0.095
nueva_construccion	0.085	0.138	0.046	0.000	0.053	0.027	0.186	0.115	0.336	0.134	0.116	0.101	0.069	0.000	0.000	0.000	0.010	0.016	0.066	0.018	0.160	0.000	0.161	0.000	0.000	0.028	1.000	0.088	0.058	0.072	0.094	0.178	0.178	0.285	0.102	0.055	-0.008	-0.002	0.056	0.187
orientacion_e	0.026	0.096	0.020	0.010	0.060	0.034	0.133	0.063	0.012	0.014	0.044	0.041	0.003	0.000	0.000	0.000	0.012	0.012	0.035	0.022	0.059	0.000	0.000	0.047	0.000	0.047	0.088	1.000	0.088	0.102	0.115	0.040	0.040	0.016	0.091	0.084	0.036	0.043	0.072	0.051
orientacion_n	0.029	0.056	0.008	0.004	0.047	0.030	0.094	0.053	0.002	0.017	0.033	0.038	0.010	0.000	0.000	0.000	0.003	0.000	0.036	0.016	0.062	0.000	0.008	0.044	0.000	0.056	0.058	0.088	1.000	0.116	0.049	0.045	0.045	0.035	0.056	0.070	0.015	0.037	0.057	0.039
orientacion_o	0.041	0.089	0.007	0.000	0.095	0.042	0.116	0.070	0.009	0.005	0.067	0.055	0.011	0.000	0.000	0.000	0.016	0.010	0.040	0.032	0.056	0.000	0.018	0.068	0.010	0.067	0.072	0.102	0.116	1.000	0.062	0.047	0.047	0.021	0.088	0.117	0.036	0.071	0.062	0.061
orientacion_s	0.007	0.108	0.024	0.000	0.092	0.044	0.161	0.057	0.032	0.023	0.050	0.037	0.002	0.000	0.000	0.000	0.025	0.000	0.056	0.017	0.071	0.000	0.014	0.069	0.000	0.056	0.094	0.115	0.049	0.062	1.000	0.050	0.050	0.028	0.095	0.104	0.026	0.055	0.080	0.058
parking	0.115	0.175	0.028	0.016	0.271	0.019	0.189	0.295	0.034	0.425	0.296	0.167	0.228	0.000	0.000	0.000	0.064	0.035	0.167	0.032	0.481	0.000	0.188	0.207	0.006	0.133	0.178	0.040	0.045	0.047	0.050	1.000	1.000	0.545	0.234	0.293	-0.082	0.088	0.132	0.450
parking_incluido_precio	0.115	0.175	0.028	0.016	0.271	0.019	0.189	0.295	0.034	0.425	0.296	0.167	0.228	0.000	0.000	0.000	0.064	0.035	0.167	0.032	0.481	0.000	0.188	0.207	0.006	0.133	0.178	0.040	0.045	0.047	0.050	1.000	1.000	0.545	0.234	0.293	-0.082	0.088	0.132	0.450
piscina	0.147	0.144	0.022	0.014	0.175	0.008	0.135	0.259	0.020	0.444	0.311	0.179	0.328	0.000	0.000	0.000	0.055	0.020	0.140	0.024	0.670	0.000	0.249	0.117	0.012	0.115	0.285	0.016	0.035	0.021	0.028	0.545	0.545	1.000	0.228	0.229	0.015	0.078	0.092	0.417
portero	0.050	0.171	0.035	0.000	0.326	0.030	0.240	0.350	0.003	0.101	0.328	0.320	0.099	0.000	0.000	0.000	0.013	0.014	0.034	0.013	0.236	0.000	0.102	0.261	0.008	0.195	0.102	0.091	0.056	0.088	0.095	0.234	0.234	0.228	1.000	0.428	0.066	0.295	0.076	0.175
precio	0.020	0.215	-0.008	-0.011	0.725	0.030	0.268	0.527	-0.042	-0.021	-0.593	0.362	0.221	-0.435	-0.173	-0.312	0.066	-0.096	-0.075	0.042	0.183	0.457	0.016	0.671	0.395	0.228	0.055	0.084	0.070	0.117	0.104	0.293	0.293	0.229	0.428	1.000	0.079	0.746	0.068	0.180
precio_parking	-0.008	0.056	0.026	0.087	0.062	0.008	0.079	0.074	0.011	0.041	-0.037	0.031	0.020	-0.040	-0.016	-0.032	0.018	0.012	-0.020	0.014	0.031	0.028	-0.007	0.058	0.013	0.022	-0.008	0.036	0.015	0.036	0.026	-0.082	-0.082	0.015	0.066	0.079	1.000	0.052	0.000	0.012
precio_unitario_km2	-0.034	0.191	0.008	-0.205	0.129	0.025	0.183	0.373	0.033	-0.211	-0.531	0.260	0.157	-0.605	-0.323	-0.526	0.010	0.076	0.213	0.064	0.007	0.450	-0.038	0.268	-0.091	0.140	-0.002	0.043	0.037	0.071	0.055	0.088	0.088	0.078	0.295	0.746	0.052	1.000	0.142	0.135
terraza	0.036	0.057	0.021	0.010	0.132	0.090	0.128	0.074	0.058	0.203	0.075	0.126	0.016	0.000	0.000	0.000	0.053	0.073	0.188	0.016	0.142	0.000	0.109	0.108	0.004	0.193	0.056	0.072	0.057	0.062	0.080	0.132	0.132	0.092	0.076	0.068	0.000	0.142	1.000	0.119
trastero	0.077	0.139	0.033	0.008	0.272	0.025	0.159	0.240	0.003	0.291	0.254	0.125	0.171	0.000	0.000	0.000	0.051	0.046	0.162	0.033	0.361	0.000	0.144	0.205	0.005	0.095	0.187	0.051	0.039	0.061	0.058	0.450	0.450	0.417	0.175	0.180	0.012	0.135	0.119	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id_anuncio	fecha	precio	precio_unitario_km2	tipologia_imueble	operacion	area_construida	n_habitaciones	n_banos	terraza	ascensor	aire_acondicionado	amueblado	parking	parking_incluido_precio	precio_parking	orientacion_n	orientacion_s	orientacion_e	orientacion_o	trastero	armarios	piscina	portero	jardin	estudio	ano_construccion	n_piso	exterior_interior	cat_ano_construccion	cat_n_max_pisos	cat_n_vecinos	cat_calidad	a_reformar	buen_estado	distancia_puerta_sol	distancia_metro	distancia_castellana	longitud	latitud	ciudad
0	A15019136831406238029	201803	126000	2680.851064	HOME	SALE	47	1	1	0	1	1	3	0	0	1	0	0	0	0	1	1	1	1	1	0	2005.0	1.0	1.0	2005	7	319	3.0	1	0	8.058429	0.872075	6.868677	-3.766933	40.362485	Madrid
1	A6677225905472065344	201803	235000	4351.851852	HOME	SALE	54	1	1	0	0	0	3	0	0	1	0	0	0	0	0	1	0	0	0	0	NaN	1.0	2.0	1900	5	11	3.0	0	1	0.876369	0.116382	1.544125	-3.710725	40.422430	Madrid
2	A13341979748618524775	201803	373000	4973.333333	HOME	SALE	75	2	1	0	0	1	3	0	0	1	0	1	0	0	1	1	0	0	0	0	NaN	3.0	1.0	1915	6	26	3.0	0	1	0.907479	0.139109	1.608444	-3.711571	40.422190	Madrid
3	A4775182175615276542	201803	284000	5916.666667	HOME	SALE	48	1	1	0	1	1	3	0	0	1	0	0	0	0	0	0	0	0	0	0	NaN	1.0	2.0	1947	9	15	5.0	0	1	0.845462	0.144299	1.516166	-3.710440	40.422251	Madrid
4	A2492087730711701973	201803	228000	4560.000000	HOME	SALE	50	0	1	0	0	0	3	0	0	1	0	0	0	0	0	0	0	0	0	1	1930.0	0.0	1.0	1930	5	19	7.0	0	1	1.250231	0.337098	1.794136	-3.714340	40.408741	Madrid
5	A18372428154681111419	201803	498000	3921.259843	HOME	SALE	127	3	2	0	1	0	3	0	0	1	0	0	0	0	0	0	0	0	0	0	NaN	3.0	1.0	1900	5	18	3.0	1	0	0.541773	0.161436	1.168126	-3.707522	40.412639	Madrid
6	A4705946410795464036	201803	225000	6428.571429	HOME	SALE	35	0	1	0	1	0	3	0	0	1	0	0	0	0	0	0	0	0	0	1	NaN	2.0	2.0	1942	6	15	3.0	0	1	0.859565	0.126995	1.517437	-3.710395	40.422450	Madrid
7	A8243762537477781718	201803	365000	3650.000000	HOME	SALE	100	2	1	1	1	0	3	0	0	1	0	0	0	0	0	0	0	1	0	0	NaN	4.0	1.0	1960	6	26	6.0	0	1	1.346115	0.263445	1.762922	-3.714126	40.407409	Madrid
8	A9587449507628658013	201803	425000	6071.428571	HOME	SALE	70	1	1	0	1	0	1	1	1	1	0	0	0	1	0	0	0	0	0	0	1900.0	2.0	1.0	1900	5	16	1.0	0	1	0.753575	0.437191	1.548310	-3.712390	40.414870	Madrid
9	A3694300518337702967	201803	3187000	8852.777778	HOME	SALE	360	4	3	1	1	1	3	1	1	1	1	1	1	1	1	1	0	1	0	0	NaN	9.0	1.0	1972	7	15	3.0	0	1	0.779228	0.312616	1.609466	-3.712945	40.417236	Madrid

	id_anuncio	fecha	precio	precio_unitario_km2	tipologia_imueble	operacion	area_construida	n_habitaciones	n_banos	terraza	ascensor	aire_acondicionado	amueblado	parking	parking_incluido_precio	precio_parking	orientacion_n	orientacion_s	orientacion_e	orientacion_o	trastero	armarios	piscina	jardin	duplex	estudio	ano_construccion	n_piso	exterior_interior	cat_ano_construccion	cat_n_max_pisos	cat_n_vecinos	cat_calidad	buen_estado	distancia_puerta_sol	distancia_metro	distancia_castellana	longitud	latitud	ciudad
94805	A6905855462280780825	201812	174000	2047.058824	HOME	SALE	85	0	2	0	1	1	3	1	1	1	0	0	0	1	0	0	0	1	1	1	2007.0	1.0	1.0	2007	3	67	5.0	1	9.503915	0.294355	8.392438	-3.593133	40.402823	Madrid
94806	A7034851435465452892	201812	229000	1908.333333	HOME	SALE	120	3	2	1	1	1	3	1	1	1	0	0	0	1	0	1	0	1	1	0	2010.0	0.0	1.0	2005	3	67	5.0	1	9.494048	0.270004	8.380544	-3.593296	40.402615	Madrid
94807	A10324853219120899544	201812	293000	2738.317757	HOME	SALE	107	3	2	0	1	1	3	1	1	1	0	0	0	1	1	1	1	1	0	0	2004.0	5.0	1.0	2004	8	20	7.0	1	8.476247	0.501479	7.327070	-3.606131	40.400215	Madrid
94808	A8974485819301533463	201812	196000	5939.393939	HOME	SALE	33	0	1	0	1	1	3	1	1	1	0	0	0	0	0	1	1	0	0	1	NaN	2.0	1.0	2008	1	1	4.0	1	6.549843	0.554890	4.857431	-3.631436	40.437287	Madrid
94809	A8870664464301737677	201812	338000	3281.553398	HOME	SALE	103	2	1	1	1	1	3	1	1	1	1	0	0	0	0	1	0	1	0	0	NaN	3.0	1.0	1998	5	74	4.0	1	8.759108	0.508877	7.374166	-3.601721	40.428977	Madrid
94810	A3962186799478940177	201812	347000	3017.391304	HOME	SALE	115	3	2	1	1	1	3	1	1	1	0	0	0	0	1	1	1	1	0	0	NaN	1.0	1.0	2009	7	58	3.0	1	10.003059	0.866826	8.276950	-3.592154	40.445810	Madrid
94811	A3876164367053781729	201812	311000	3344.086022	HOME	SALE	93	2	2	0	1	1	3	1	1	1	1	1	0	0	1	1	1	1	0	0	2007.0	2.0	1.0	2007	7	161	3.0	1	10.198147	1.019788	8.496364	-3.589376	40.445013	Madrid
94812	A17768295786772492698	201803	342000	2826.446281	HOME	SALE	121	2	2	1	1	1	2	1	1	1	0	0	1	0	1	1	1	1	0	0	2005.0	3.0	1.0	2009	6	107	3.0	1	11.204027	1.883650	9.573127	-3.576271	40.443196	Madrid
94813	A15733144649359668635	201806	146000	2354.838710	HOME	SALE	62	3	1	0	0	0	2	0	0	1	0	0	0	0	0	1	0	0	0	0	1970.0	3.0	2.0	1970	4	17	5.0	1	8.780692	0.171736	6.941217	-3.608694	40.447931	Madrid
94814	A9716488392839016117	201812	334000	3591.397849	HOME	SALE	93	3	1	1	1	1	3	0	0	1	1	0	1	0	0	1	1	1	0	0	1972.0	2.0	1.0	1974	9	301	5.0	1	11.070417	0.212377	8.799697	-3.585056	40.458098	Madrid

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values